Statistical Learning

Alternating Minimization for Mixed Linear Regression ICML 2014 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 An Inequality with Applications to Structured Sparsity and Multitask Dictionary Learning COLT 2014 A PAC-Bayesian bound for Lifelong Learning ICML 2014 A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NeurIPS 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 A statistical model for tensor PCA NeurIPS 2014 A Statistical Perspective on Algorithmic Leveraging ICML 2014 Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables JMLR 2014 A Unified Framework for Consistency of Regularized Loss Minimizers ICML 2014 A Unifying View of Representer Theorems ICML 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval CVPR 2014 Bridging Viterbi and Posterior Decoding: A Generalized Risk Approach to Hidden Path Inference Based on Hidden Markov Models JMLR 2014 Clustering from Labels and Time-Varying Graphs NeurIPS 2014 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Concentration in unbounded metric spaces and algorithmic stability ICML 2014 Concept Drift Detection Through Resampling ICML 2014 Cone-Constrained Principal Component Analysis NeurIPS 2014 Confidence Intervals and Hypothesis Testing for High-Dimensional Regression JMLR 2014 Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife JMLR 2014 Consistency of Causal Inference under the Additive Noise Model ICML 2014 Consistency of weighted majority votes NeurIPS 2014